Deep Learning-Based Object Classification and Position Estimation Pipeline for Potential Use in Robotized Pick-and-Place Operations
Accurate object classification and position estimation is a crucial part of executing autonomous pick-and-place operations by a robot and can be realized using RGB-D sensors becoming increasingly available for use in industrial applications. In this paper, we present a novel unified framework for ob...
Main Authors: | Sergey Soltan, Artemiy Oleinikov, M. Fatih Demirci, Almas Shintemirov |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-08-01
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Series: | Robotics |
Subjects: | |
Online Access: | https://www.mdpi.com/2218-6581/9/3/63 |
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